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detectMultiScale detects insane amount of faces


This is my first attempt to detect faces with OpenCV but i am getting strange results. I am using the newest OpenCV files. but something is not right and i am getting detectMultiScale to fill the faces vector with 265290877 unusable entries. where most of them look like this [0] = {x=0 y=0 width=-1414812757 height = -1414812757}. so does any one know what i am doing wrong?

#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

#include <iostream>
#include <stdio.h>

using namespace std;
using namespace cv;

int main(int argc, const char** argv)
//create the cascade classifier object used for the face detection
CascadeClassifier face_cascade;
//use the haarcascade_frontalface_alt.xml library
if (!face_cascade.load("haarcascade_frontalface_alt.xml"))
    printf("Unable to load classifier XML");
    return 0;

//setup video capture device and link it to the first capture device
//VideoCapture captureDevice;

//setup image files used in the capture process
Mat captureFrame;
Mat grayscaleFrame;

captureFrame = imread("Test.png", IMREAD_COLOR);

if (captureFrame.empty()) // Check for invalid input
    cout << "Could not open or find the image" << std::endl;
    return 0;

//create a window to present the results
namedWindow("outputCapture", 1);

//create a loop to capture and find faces
while (true)
    //capture a new image frame
    //captureDevice >> captureFrame;

    //convert captured image to gray scale and equalize
    cvtColor(captureFrame, grayscaleFrame, CV_BGR2GRAY);
    equalizeHist(grayscaleFrame, grayscaleFrame);

    //create a vector array to store the face found
    std::vector<Rect> faces;

    //find faces and store them in the vector array
    face_cascade.detectMultiScale(grayscaleFrame, faces, 1.1, 3, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));

    ////draw a rectangle for all found faces in the vector array on the original image
    //for (int i = 0; i < faces.size(); i++)
    //  Point pt1(faces[i].x + faces[i].width, faces[i].y + faces[i].height);
    //  Point pt2(faces[i].x, faces[i].y);

    //  rectangle(captureFrame, pt1, pt2, cvScalar(0, 255, 0, 0), 1, 8, 0);

    //print the output
    imshow("outputCapture", captureFrame);

    //pause for 33ms

return 0;